Sparsity: meaning, definitions and examples

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sparsity

 

[ ˈspɑːsɪti ]

Noun
Context #1 | Noun

in statistics

Sparsity refers to the property of having very few non-zero elements in a dataset or mathematical structure. It is commonly used in the context of sparse matrices, where most of the elements are zero.

Synonyms

infrequency, rareness, scantiness

Examples of usage

  • The sparsity of the data matrix allowed for efficient storage and computation.
  • Sparse coding techniques take advantage of the sparsity present in the data.
Context #2 | Noun

in everyday language

Sparsity can refer to a state of being scarce or lacking in quantity. It often implies a sense of insufficiency or inadequacy.

Synonyms

dearth, paucity, scarcity

Examples of usage

  • The sparsity of resources in the region led to widespread poverty.
  • The sparsity of options left us with limited choices.

Translations

Translations of the word "sparsity" in other languages:

🇵🇹 esparsidade

🇮🇳 विरलता

🇩🇪 Sparsamkeit

🇮🇩 kekurangan

🇺🇦 рідкість

🇵🇱 rzadkość

🇯🇵 希薄

🇫🇷 rareté

🇪🇸 escasez

🇹🇷 seyreklik

🇰🇷 희소성

🇸🇦 ندرة

🇨🇿 řidkost

🇸🇰 riedkosť

🇨🇳 稀疏

🇸🇮 redkost

🇮🇸 fámenni

🇰🇿 тапшыдық

🇬🇪 ნაკლებობა

🇦🇿 nadirlik

🇲🇽 escasez

Etymology

The word 'sparsity' originated from the Latin word 'sparsum', which means scattered. It has been used in mathematics and statistics to describe datasets with a low density of non-zero elements. The concept of sparsity has gained importance in various fields such as machine learning, signal processing, and optimization.

See also: sparcity, sparse, sparsely.

Word Frequency Rank

This word's position of #31,851 indicates it's among the more rare English words. While understanding it broadens your vocabulary, focus on more common words first.